Approaches to Estimating Indoor Exposure to Radon—A Systematic Review
Chunxiao Su, Mingxia Wang, Yanmei Yin, Chanjuan Sun, Zhijun Zou, Haidong Wang, Yuwei Dai
Abstract
Indoor radon exposure has been an increasing concern in recent years due to its health risks, like lung cancer and leukemia. Indoor radon exposure levels can be determined through measurement but with limitations. An increasing number of studies have started to apply simulation methods to assess indoor radon exposure levels in recent decades. To better understand currently available approaches for estimating indoor radon exposure, we conducted a systematic review of the current available methods for estimating the indoor radon levels. Through the search and screening of databases, a total of 28 related articles were included. The results show that the main methods for indoor radon estimation are mathematical models, statistical methods, and the geographic information system (GIS) method. The factors to consider include completion time, building type, floor area, number of floors, soil texture, building materials, and degree of urbanization. This paper, through its review of radon exposure level estimation and assessment methods, provides a more systematic understanding of this field, with important implications for accurately estimating the spatial and time distribution of indoor radon exposure and its health risks.